README.txt

Documentation for Eini�, E. �R&D Subsidies and Company Performance: Evidence from Geographic Variation in Government Funding Based on the 
ERDF Population-Density Rule,� Review of Economics and Statistics, Vol. 96, No. 4, October 2014: 710-728.


I.	Introduction

The data for this article is a restricted use data set compiled by Statisics Finland (SF). 
Access to the original data sets can be obtained from the SF using the contact information below.

Tutkijapalvelut
Statistics Finland 
FI-00022 Statistics Finland 
Tel: +358 29 551 1000 
www.stat.fi/index_en.html

You can also contact the author for any assistance regarding the data.

II.	Outline of replication files

Stata programs:
prepare_data.do � Program linking datasets and preparing variables 
estimations.do - Estimation program
master_program.do - Program executing files prepare_data.do and estimations.do

SAS programs:
prepare_1994_tilp_variables.sas - Program extracting 1994 balance sheet information from the Financial Statements Panel (output file: tilp94vars.csv)  

Data files:
statfi_data.dta - Main data file.
nuts4_data_94classification.dta - NUTS4 area data based on the 1994 NUTS4 classification.

III.	Data and variable definitions

statfi_data.dta:

syrtun 				Company Identifier
nuts4_07			NUTS4 area identifier, 2007 classification
nuts4_94			NUTS4 area identifier, 1994 classification
vuosi 				Year
minvuosi			First year in the Financial Statements Panel
ysyht 				R&D expenditure
ysyht_le1 			R&D expenditure, t+1
ysyht_le2 			R&D expenditure, t+2
ysyht_le3 			R&D expenditure, t+3
ysyht_la1 			R&D expenditure, t-1
ysyht_la2 			R&D expenditure, t-2
lv_tilp   			Sales
lv_tilp_le1   			Sales, t+1
lv_tilp_le2   			Sales, t+2
lv_tilp_le3   			Sales, t+3
lv_tilp_la1   			Sales, t-1
lv_tilp_la2   			Sales, t-2
hkb   				Employment
hkb_le1   			Employment, t+1
hkb_le2   			Employment, t+2
hkb_le3   			Employment, t+3
hkb_la1   			Employment, t-1
hkb_la2   			Employment, t-2
kaytom   			Fixed Assets
kaytom_le1   			Fixed Assets, t+1
kaytom_le2   			Fixed Assets, t+2
kaytom_le3   			Fixed Assets, t+3
kaytom_la1   			Fixed Assets, t-1
kaytom_la2   			Fixed Assets, t-2
age			 	Age
nace_2d		 		Industry code, 2-digit NACE 
fund				Total annualized Tekes funding
fund_le1			Total annualized Tekes funding, t+1
fund_la1			Total annualized Tekes funding, t-1
tukis				Subsidy, Annualized Total
tukis_la1			Subsidy, Annualized Total, t-1
tukis_le1			Subsidy, Annualized Total, t+1
myon_avus			Subsidy, Amount Granted, t
myon_avus_le1			Subsidy, Amount Granted, t+1
myon_avus_la1			Subsidy, Amount Granted, t-1
ysyht_eu0			R&D expenditure in Objective 0 area, firm level
ysyht_eu1			R&D expenditure in Objective 1 area, firm level
ysyht_eu2			R&D expenditure in Objective 2 area, firm level
ysyht_eu4			R&D expenditure in Objective 4 area, firm level
hk_eu0				Employment in Objective 0 area, firm level
hk_eu1				Employment in Objective 1 area, firm level
hk_eu2				Employment in Objective 2 area, firm level
hk_eu4				Employment in Objective 4 area, firm level
tilimpex			Exporter status, exporter=1
gdpcap_la1			GDP per capita, NUTS4, t-1
urate_la1			Unemployment rate, NUTS4, t-1
os_jal_la1			Fraction of Primary production, NUTS4, t-1
rdcons_la1			NUTS4 R&D expenditure per land acreage, t-1

nuts4_data_94classification.dta:

nuts4_94 			NUTS4 area identifier, 1994 NUTS4 classification
popden_92_sk94			1992 population density, 1994 NUTS4 classification
di00sk94ce 			Distance from the centroid of a NUTS4 area to the ERDF 1 boundary, 1994 NUTS4 classification



